A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

A curated list of awesome posts, videos, and articles on leading a data team (small and large)

Repository for the paper "SAR-based landslide classification pretraining leads to better segmentation"

Techniques for deep learning with satellite & aerial imagery

A Chrome Extension for doing similarity search on the WorldView website

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

Automated Integration Testing and Live Documentation for your API

Machine Learning and Computer Vision Engineer - Technical Interview Questions

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

Pretrained SMILES transformation model for finetuning for diverse molecular tasks.

Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

Roadmap to becoming a data engineer in 2021

Swipe Labeler is a Graphical User Interface based tool that allows rapid labeling of image data.

GIBS Downloader is a command-line tool which facilitates the downloading of NASA satellite imagery and offers different functionalities in order to prepare the images for training in a machine lear…

NASA CAMS (Camera for All Sky Surveillance) Meteor Shower Portal by SpaceML

A list of resources such as scholarships, fellowships, and mailing list for helping CS students succeed in their career

A continuation of our discussion at the 2020 WiML UnWorkshop.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".

A guideline for building practical production-level deep learning systems to be deployed in real world applications.